TY  - GEN
N2  - Assessment of health professionals' jargon use in spoken communication as well as the efficacy of interventions to reduce jargon use by health professionals in clinical encounters is limited by current jargon identification methods which are subjective, labor-intensive, and expensive. The goal of this study is to validate a relatively fast, inexpensive, low-tech, automated, and widely available method to identify medical jargon in clinical encounters. We hypothesized that video-recorded clinical encounters can be converted into written transcripts using free software from YouTube.com and analyzed for medical jargon using Health Literacy Advisor Online (HLA) proprietary software. We found that automated transcription and HLA software can be used to provide rough estimations of frequency of jargon use, but further work is needed to find a methodology for automated jargon detection with improved sensitivity.
DO  - 10.6083/p8418p123
DO  - DOI
AB  - Assessment of health professionals' jargon use in spoken communication as well as the efficacy of interventions to reduce jargon use by health professionals in clinical encounters is limited by current jargon identification methods which are subjective, labor-intensive, and expensive. The goal of this study is to validate a relatively fast, inexpensive, low-tech, automated, and widely available method to identify medical jargon in clinical encounters. We hypothesized that video-recorded clinical encounters can be converted into written transcripts using free software from YouTube.com and analyzed for medical jargon using Health Literacy Advisor Online (HLA) proprietary software. We found that automated transcription and HLA software can be used to provide rough estimations of frequency of jargon use, but further work is needed to find a methodology for automated jargon detection with improved sensitivity.
AD  - Oregon Health and Science University
T1  - Toward and automated method for assessing jargon in medical encounters
ED  - Coleman, Clifford
ED  - Mentor
DA  - 2023
AU  - King, Katherine
L1  - https://digitalcollections.ohsu.edu/record/10089/files/King.Katherine.2023.pdf
PB  - Oregon Health and Science University
PY  - 2023
ID  - 10089
L4  - https://digitalcollections.ohsu.edu/record/10089/files/King.Katherine.2023.pdf
KW  - Automation
KW  - Health Literacy
KW  - Education, Medical
KW  - medical jargon
TI  - Toward and automated method for assessing jargon in medical encounters
Y1  - 2023
L2  - https://digitalcollections.ohsu.edu/record/10089/files/King.Katherine.2023.pdf
LK  - https://digitalcollections.ohsu.edu/record/10089/files/King.Katherine.2023.pdf
UR  - https://digitalcollections.ohsu.edu/record/10089/files/King.Katherine.2023.pdf
ER  -